Verified claim · AI-ML · 100% confidence
Sora (OpenAI video generation model) announced on: 2024-02-15.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 5697b2a15693e6c0
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Structured fields
- Subject
- Sora (OpenAI video generation model)
- Predicate
announced_on- Object
- 2024-02-15
- Confidence
- 100%
- Tags
- sora · openai · video-generation · 2024
Sources (1)
[1] official blog · OpenAI · 2024-02-15
Sora“We're teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction.”
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Sora (OpenAI video generation model) announced on: 2024-02-15. — SourceScore Claim 5697b2a15693e6c0 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.jsonEmbed this claim
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Frequently asked questions
Is the claim "Sora (OpenAI video generation model) announced on: 2024-02-15." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 1 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Sora (OpenAI video generation model) announced on: 2024-02-15."?
Evidence comes from 1 primary sources: OpenAI. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Sora (OpenAI video generation model) announced on: 2024-02-15."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Sora (OpenAI video generation model) announced on: 2024-02-15."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_sora_openai_video_generation_model_fact() -> dict:
"""Fetch the verified SourceScore claim for Sora (OpenAI video generation model)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json")
return r.json()